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Literature DB >> 21276870

Influenza genome diversity and evolution.

Abstract

The influenza viruses contain highly variable genomes and are able to infect a wide range of host species. Large-scale sequencing projects have collected abundant influenza sequence data for assessing influenza genome diversity and evolution. This work reviews current influenza sequence databases characteristics and statistics, as well as recent studies utilizing these databases to unravel influenza virus diversity and evolution. Also discussed are the newest deep sequencing methods and their applications to influenza virus research.

Entities: Species

Mesh：

Year: 2011 PMID： 21276870 DOI： 10.1016/j.micinf.2011.01.013

Source DB: PubMed Journal: Microbes Infect ISSN： 1286-4579 Impact factor: 2.700

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Cited

10 in total

1. Mutations in the C-terminal tail of NS1 protein facilitate the replication of classical swine H1N1 influenza A virus in mice.

Authors: Jinxiang Wang; Xian Qi; Chengping Lu
Journal: Folia Microbiol (Praha) Date: 2012-03-20 Impact factor: 2.099

Review 2. Deep sequencing: becoming a critical tool in clinical virology.

Authors: Miguel E Quiñones-Mateu; Santiago Avila; Gustavo Reyes-Teran; Miguel A Martinez
Journal: J Clin Virol Date: 2014-06-24 Impact factor: 3.168

3. Simplified large-scale Sanger genome sequencing for influenza A/H3N2 virus.

Authors: Hong Kai Lee; Julian Wei-Tze Tang; Debra Han-Lin Kong; Evelyn Siew-Chuan Koay
Journal: PLoS One Date: 2013-05-31 Impact factor: 3.240

4. Emerged HA and NA mutants of the pandemic influenza H1N1 viruses with increasing epidemiological significance in Taipei and Kaohsiung, Taiwan, 2009-10.

Authors: Chuan-Liang Kao; Ta-Chien Chan; Chu-Han Tsai; Kuan-Ying Chu; Shu-Fang Chuang; Chang-Chun Lee; Zheng-Rong Tiger Li; Ko-Wen Wu; Luan-Yin Chang; Yea-Huei Shen; Li-Min Huang; Ping-Ing Lee; Chinglai Yang; Richard Compans; Barry T Rouse; Chwan-Chuen King
Journal: PLoS One Date: 2012-02-06 Impact factor: 3.240

5. Computational analysis and mapping of novel open reading frames in influenza A viruses.

Authors: Yu-Nong Gong; Guang-Wu Chen; Chi-Jene Chen; Rei-Lin Kuo; Shin-Ru Shih
Journal: PLoS One Date: 2014-12-15 Impact factor: 3.240

6. Influenza A (N1-N9) and Influenza B (B/Victoria and B/Yamagata) Neuraminidase Pseudotypes as Tools for Pandemic Preparedness and Improved Influenza Vaccine Design.

Authors: Kelly A S da Costa; Joanne Marie M Del Rosario; Matteo Ferrari; Sneha Vishwanath; Benedikt Asbach; Rebecca Kinsley; Ralf Wagner; Jonathan L Heeney; George W Carnell; Nigel J Temperton
Journal: Vaccines (Basel) Date: 2022-09-14

Influenza genome diversity and evolution.

1. Mutations in the C-terminal tail of NS1 protein facilitate the replication of classical swine H1N1 influenza A virus in mice.

Review 2. Deep sequencing: becoming a critical tool in clinical virology.

3. Simplified large-scale Sanger genome sequencing for influenza A/H3N2 virus.

4. Emerged HA and NA mutants of the pandemic influenza H1N1 viruses with increasing epidemiological significance in Taipei and Kaohsiung, Taiwan, 2009-10.

5. Computational analysis and mapping of novel open reading frames in influenza A viruses.

6. Influenza A (N1-N9) and Influenza B (B/Victoria and B/Yamagata) Neuraminidase Pseudotypes as Tools for Pandemic Preparedness and Improved Influenza Vaccine Design.

7. The evolutionary pattern of glycosylation sites in influenza virus (H5N1) hemagglutinin and neuraminidase.

8. Extreme evolutionary conservation of functionally important regions in H1N1 influenza proteome.

9. Inferring the Clonal Structure of Viral Populations from Time Series Sequencing.

Review 10. The past, present and future of RNA respiratory viruses: influenza and coronaviruses.